Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

Social Media has become a vital component of every individual's life in society opening a
preferred spectrum of virtual communication which provides an individual with a freedom to …

Hate speech and toxic comments are a common concern of social media platform users.
Although these comments are, fortunately, the minority in these platforms, they are still …

Social media platforms have evolved into an online representation of our social interactions.
We may use the resources they provide to analyze phenomena that occur within them, such …

This paper demonstrates our work for the shared task on Offensive Language Identification
in Dravidian Languages-EACL 2021. Offensive language detection in the various social …

The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …

The use of code-switched languages (eg, Hinglish, which is derived by the blending of Hindi
with the English language) is getting much popular on Twitter due to their ease of …

The increasing suicide rates amongst youth and its high correlation with suicidal ideation
expression on social media warrants a deeper investigation into models for the detection of …

In this paper, we present a novel hostility detection dataset in Hindi language. We collect
and manually annotate~ 8200 online posts. The annotated dataset covers four hostility …

We present XHATE-999, a multi-domain and multilingual evaluation data set for abusive
language detection. By aligning test instances across six typologically diverse languages …